Senior Data Solutions Developer

7 days ago


Amrāvati, Maharashtra, India beBeeData Full time ₹ 75,00,000 - ₹ 1,50,00,000
Job Summary

We are seeking an experienced data engineer to design and implement scalable data pipelines using Azure Databricks (PySpark/Scala).

  • This is a key role in our organization where you will work with data scientists, analysts, and business stakeholders to deliver high-quality data solutions.
Main Responsibilities
  • Design and Implement Scalable Data Pipelines:
  • Develop and deploy Azure Function Apps for event-driven data processing and automation.
  • Integrate Databricks with other Azure services like Data Lake Storage, Synapse, Event Hubs, Key Vault, etc.
  • Optimize Spark jobs for performance and cost-efficiency.
  • Implement CI/CD pipelines using Azure DevOps for Databricks notebooks and Function Apps.
  • Monitor and troubleshoot production workloads, ensuring high availability and reliability.
Required Skills and Qualifications
  • Azure Databricks and Apache Spark (PySpark or Scala):
  • Azure Function Apps using C#, Python, or JavaScript.
  • Azure Data Lake, Event Hubs, Blob Storage, and Key Vault.
  • CITools, Git, and Infrastructure as Code (ARM/Bicep/Terraform).
  • Data modeling, ETL/ELT processes, and data governance.
Benefits
  • Microsoft Certified: Azure Data Engineer Associate or similar certifications:
  • Delta Lake, MLflow, or Unity Catalog.
  • Monitoring tools like Azure Monitor, Log Analytics, and Application Insights.


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